code: def test_deterministic_with_batch_2(self):
      def _context_sampling_fn():
          return np.array([[4, 3], [4, 3]])
  
      reward_fns = [
          LinearDeterministicReward(theta)
          for theta in ([0, 1], [1, 2], [2, 3], [3, 4])
      ]
      env = sspe.StationaryStochasticPyEnvironment(
          _context_sampling_fn, reward_fns, batch_size=2
      )
      time_step = env.reset()
      self.assertAllEqual(time_step.observation, [[4, 3], [4, 3]])
      time_step = env.step([0, 1])
      self.assertAllEqual(time_step.reward, [3, 10])
      env.reset()
      time_step = env.step([2, 3])
      self.assertAllEqual(time_step.reward, [17, 24])
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.bandits.environments import stationary_stochastic_py_environment
  from tf_agents.policies import random_py_policy
  from tf_agents.specs import array_spec
  from tf_agents.trajectories import time_step
label_desc: Use image node_id 3 for calling the StationaryStochasticBanditPyEnvironmentTest obj's underlying member method code with example usage: obj.test_deterministic_with_batch_2() and returns: np